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High-Q mid-infrared refractive index sensor based on Fano resonance in an all-dielectric double-rod structure 基于全介质双棒结构法诺共振的高q中红外折射率传感器
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-29 DOI: 10.1016/j.optcom.2026.132975
Wenwen Wang, Fuming Yang, Wenwen Sun, Zhe Wu, Xiaoyan Shi, Junying Liu, Yuetao Liu, Jizheng Geng, Xintong Wei, Xiangtao Chen, Shijia Zhu, Zhongzhu Liang
Compared to traditional sensors, metasurface sensors offer higher sensitivity and superior optical response. All-dielectric materials have broad prospects for refractive index sensing due to low ohmic loss. Here, we propose a double-rod all-dielectric nanostructure that exhibits a high-quality factor (high-Q) Fano resonance in the mid-infrared band. This resonance is highly sensitive to changes in the refractive index of the surrounding medium. Analysis of the electromagnetic field distribution and multipole moment decomposition, it is demonstrated that the resonance is driven by a toroidal dipole (TD) and a magnetic quadrupole (MQ). We systematically characterized the sensing performance of the proposed structure. The results show that it achieves a sensitivity of up to 1337.1 nm/RIU and a high figure of merit (FOM) of 1238. In the mid-infrared band, the structure exhibited a high Q factor of 18544. Moreover, its reflection spectrum in this band could be effectively tuned by adjusting the geometric parameters of the metasurface. Finally, investigations at different incident angles reveal that the resonant peak exhibits a distinct blueshift as the angle increases. Moreover, the structure shows a selective response to the polarization state, demonstrating excellent polarization sensitivity. This work shows that high-performance optical sensors can be fabricated using simple processes, thereby providing a fresh design framework and theoretical basis for the sensor community.
与传统传感器相比,超表面传感器具有更高的灵敏度和优越的光学响应。全介质材料具有低欧姆损耗的特点,在折射率传感领域具有广阔的应用前景。在这里,我们提出了一种双杆全介电纳米结构,在中红外波段表现出高质量因子(高q)范诺共振。这种共振对周围介质的折射率变化非常敏感。电磁场分布分析和多极矩分解表明,谐振是由环形偶极子(TD)和磁四极子(MQ)驱动的。我们系统地表征了所提出的结构的传感性能。结果表明,该方法的灵敏度可达1337.1 nm/RIU,高品质因数(FOM)为1238。在中红外波段,该结构的Q因子高达18544。此外,通过调整超表面的几何参数可以有效地调谐其在该波段的反射光谱。最后,在不同入射角下的研究表明,随着入射角的增加,共振峰表现出明显的蓝移。此外,该结构对极化状态有选择性响应,表现出优异的极化灵敏度。这项工作表明,高性能的光学传感器可以用简单的工艺制造,从而为传感器界提供了一个新的设计框架和理论基础。
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引用次数: 0
Fast calibration method of axial distance error in ptychography based on linear model for initial object reconstruction 基于初始目标重建线性模型的平面摄影轴向距离误差快速标定方法
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-27 DOI: 10.1016/j.optcom.2026.132962
Chenlong Dai, Yang Wang, Jiantai Dou
Accurate axial distance calibration is pivotal for high-precision ptychography. The conventional dichotomy-based approach (dPIE) suffers from slow convergence and computationally intensive preprocessing. Here, we introduce a hybrid framework: A linear model analytically reconstructs high-fidelity initial object/probe distributions, integrated with an optimized dichotomous scheme for axial refinement. This strategy enables single-iteration processing at each candidate distance without preprocessing overhead, which effectively overcomes key limitations of dPIE. Validated on standard and biological specimens, the framework can drastically reduce the correction time. By leveraging total variation to exponentially narrow the search interval, the rapid convergence is achieved with minimal computation. This method provides an efficient solution for axial distance calibration in ptychographic systems.
准确的轴向距离校准是高精度平面摄影的关键。传统的基于二分类的方法(dPIE)存在收敛速度慢和计算量大的预处理问题。在这里,我们引入了一个混合框架:一个线性模型解析重建高保真的初始目标/探针分布,并集成了一个优化的二分类方案进行轴向优化。该策略允许在每个候选距离上进行单次迭代处理,而无需预处理开销,从而有效地克服了dPIE的关键局限性。在标准和生物标本上验证,该框架可以大大减少校正时间。通过利用总变分指数缩小搜索区间,以最小的计算量实现快速收敛。该方法为平面成像系统的轴向距离标定提供了有效的解决方案。
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引用次数: 0
Corrigendum to “Coherent fading suppression method in the COTDR system based on multi-band filtering” [Opt. Commun. 583 (2025) 131696] “基于多频带滤波的COTDR系统相干衰落抑制方法”的勘误表[Opt. common . 583 (2025) 131696]
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-27 DOI: 10.1016/j.optcom.2025.132805
Xiang Sui , Ying Shang , Sheng Huang , Wenan Zhao , Xiaohan Qiao , Guangqiang Liu , Chunmei Yao , Shouling Liu , Na Wan , Xianggui Kong , Hong Zhao , Fengming Mou , Zhengying Li , Weitao Wang , Chen Wang , Gangding Peng
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引用次数: 0
Demonstration of 1.5-kW large-core step-index Yb-doped fiber amplifier near 980 nm 980 nm附近1.5 kw大芯阶跃折射率掺镱光纤放大器的演示
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-27 DOI: 10.1016/j.optcom.2026.132966
Maoni Chen , Aimin Liu , Shangde Zhou , Jianqiu Cao , Qi Zhang , Zhihe Huang , Zilun Chen , Zefeng Wang , Jinbao Chen
A 1.5-kW large-core step-index Yb-doped fiber amplifier operating near 980 nm is firstly demonstrated, to the best of our knowledge, by means of broadening the signal bandwidth to suppress in-band amplified spontaneous emission (ASE) around 980 nm. The signal bandwidth covering from 974 nm to 980 nm is achieved using a home-made seed oscillator with a dual low-reflectivity fiber Bragg grating (LR-FBG) configuration. The record 1.546-kW output power was achieved with a slope efficiency of 71.5 % (with respect to the launched pump power) which should also be the highest achieved by the step-index double-cladding Yb-doped fiber. The power ratio of in-band ASE was suppressed to below 1 %, while the ASE around 1030 nm was also 27.8-dB suppressed. This amplifier can strongly drive the power up-scaling of high-power fiber lasers and amplifiers as high-power cladding-pumping source, and thus can have significant impact on application fields involving high-power fiber lasers and amplifiers.
据我们所知,首先展示了一个工作在980 nm附近的1.5 kw大芯阶跃折射率掺镱光纤放大器,通过扩大信号带宽来抑制980 nm附近的带内放大自发发射(ASE)。采用自制的双低反射率光纤布拉格光栅(LR-FBG)结构的种子振荡器实现了974 ~ 980 nm的信号带宽。以71.5%的斜率效率(相对于发射的泵浦功率)实现了创纪录的1.546 kw输出功率,这也应该是由阶跃折射率双包层掺镱光纤实现的最高输出功率。带内ASE的功率比被抑制在1%以下,而1030 nm附近的ASE也被抑制了27.8 db。该放大器作为高功率包层泵浦源,能够有力地推动高功率光纤激光器和放大器的功率放大,从而对高功率光纤激光器和放大器的应用领域产生重要影响。
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引用次数: 0
Corrigendum to “Coherent fading suppression method in the COTDR system based on multi-band filtering” [Opt. Commun. 583 (2025) 131696] “基于多频带滤波的COTDR系统相干衰落抑制方法”的勘误表[Opt. common . 583 (2025) 131696]
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-27 DOI: 10.1016/j.optcom.2025.132779
Xiang Sui , Ying Shang , Sheng Huang , Wenan Zhao , Xiaohan Qiao , Guangqiang Liu , Chunmei Yao , Shouling Liu , Na Wan , Xianggui Kong , Hong Zhao , Fengming Mou , Zhengying Li , Weitao Wang , Chen Wang , Gangding Peng
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引用次数: 0
Vibration signal denoising method for pipeline leakage based on WFBG and deep learning 基于WFBG和深度学习的管道泄漏振动信号去噪方法
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-24 DOI: 10.1016/j.optcom.2026.132958
Cui Zhang , Xinjun Gao , Ajiaikebaier Wulamu , Weibing Gan , Ai Zhou , Congcong Qin , Pei Lv
Natural gas pipelines are critical infrastructure for urban energy supply, but leak-induced vibration signals are often obscured by environmental noise and coupling from supporting structures, which reduces the accuracy of detection and localization. This paper proposes a denoising framework that integrates a weak fiber Bragg grating (WFBG) array with deep learning. Specifically, the method builds a VMD-fused multi-branch structure, in which U-Net and gated recurrent unit (GRU) subnetworks are used for feature extraction and are trained under the Noise2Noise (N2N) framework, thereby enabling denoising without clean reference signals. It effectively achieves extraction and reconstruction of both high- and low-frequency features. Experiments are conducted on a steel pipeline leakage monitoring platform with synchronous multi-zone acquisition (Zone 1 to Zone 9). Training pairs are constructed using data from different time instants within the same zone, and cross-zone consistency is validated under different noise and coupling conditions. For physical interpretability, this paper provides an order-of-magnitude prediction of the first bending mode of a supported span to explain the dominant low-frequency peak and its spatial variation. Under representative operating conditions, the proposed method achieves SNR=20.32dB, PSNR=31.71dB, SSIM=0.929, time-domain MSE=0.00581, and frequency-domain error Errf=1.99985, outperforming baseline methods. Overall, the framework preserves key frequency-band characteristics related to leakage while suppressing noise, and demonstrates robust cross-zone generalization for distributed monitoring.
天然气管道是城市能源供应的关键基础设施,但泄漏引起的振动信号往往被环境噪声和支撑结构的耦合所掩盖,从而降低了检测和定位的准确性。本文提出了一种将弱光纤布拉格光栅(WFBG)阵列与深度学习相结合的去噪框架。具体而言,该方法构建了一种融合vmd的多分支结构,其中U-Net和门控循环单元(GRU)子网用于特征提取,并在Noise2Noise (N2N)框架下进行训练,从而在没有干净参考信号的情况下实现去噪。它有效地实现了高频和低频特征的提取和重构。在钢管泄漏监测平台上进行了多区同步采集(1 ~ 9区)实验。利用同一区域内不同时刻的数据构建训练对,并在不同噪声和耦合条件下验证跨区域一致性。在物理可解释性方面,本文提供了支撑跨度第一弯曲模态的数量级预测,以解释主导低频峰值及其空间变化。在代表性工况下,该方法的信噪比为20.32dB, PSNR为31.71dB, SSIM为0.929,时域MSE为0.00581,频域误差Errf为1.99985,优于基准方法。总体而言,该框架在抑制噪声的同时保留了与泄漏相关的关键频带特性,并展示了分布式监测的鲁棒跨区域泛化。
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引用次数: 0
Optical video encryption using iterative phase retrieval and multimodal chaotic maps 基于迭代相位恢复和多模态混沌映射的光学视频加密
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-24 DOI: 10.1016/j.optcom.2026.132960
Gaurav Verma , Wenqi He
The Optical Phase Retrieval (OPR) technique represents an innovative encoding approach that enforces constraints in both the Fourier and spatial domains to generate a phase-only representation of data. Discarding amplitude information inherently achieves data compression in the Fourier domain while preserving essential structural details. This paper presents an efficient and secure video encryption framework integrating OPR with multimodal chaotic-map modulation for enhanced robustness and confidentiality. In the proposed method, video sequences are decomposed into individual frames, which are encoded into phase-only distributions using an iterative OPR algorithm. These encoded frames are further encrypted through multimodal chaotic maps, including Logistic and Henon systems, ensuring high key sensitivity, strong diffusion, and nonlinear randomness. The integrated framework achieves efficient data compression, secure transmission, and robustness against perturbations. The numerical results demonstrate that the proposed scheme achieves a large key space and strong sensitivity, and offers efficient computation time complexity, also effectively showing reliable performance against video processing attacks such as compression, rotation, and blurring. Comprehensive experiments under diverse degradations — such as Gaussian noise, salt-and-pepper noise, and partial occlusion — demonstrate that the proposed system provides high-quality reconstruction during decryption. Statistical evaluations using metrics such as MSE, PSNR, SSIM, and entropy confirm excellent decryption fidelity and strong resistance to standard cryptographic attacks. Furthermore, the proposed system exhibits real-time processing capabilities, making it a suitable choice for next-generation optical video encryption and secure multimedia communication applications.
光学相位检索(OPR)技术代表了一种创新的编码方法,它在傅里叶和空间域中强制约束以生成数据的纯相位表示。在保留基本结构细节的同时,丢弃幅度信息固有地实现了傅里叶域的数据压缩。本文提出了一种将OPR与多模态混沌映射调制相结合的高效、安全的视频加密框架,增强了该框架的鲁棒性和保密性。在该方法中,视频序列被分解为单独的帧,并使用迭代OPR算法将其编码为纯相位分布。这些编码帧通过多模态混沌映射(包括Logistic和Henon系统)进一步加密,确保高密钥灵敏度、强扩散和非线性随机性。该集成框架实现了高效的数据压缩、安全的传输和抗扰动的鲁棒性。数值结果表明,该方案具有较大的密钥空间和较强的灵敏度,具有较好的计算时间复杂度,并能有效抵御压缩、旋转、模糊等视频处理攻击。在高斯噪声、椒盐噪声和部分遮挡等不同噪声下的综合实验表明,该系统在解密过程中提供了高质量的重建。使用MSE、PSNR、SSIM和熵等指标的统计评估证实了出色的解密保真度和对标准加密攻击的强大抵抗力。此外,所提出的系统具有实时处理能力,使其成为下一代光学视频加密和安全多媒体通信应用的合适选择。
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引用次数: 0
Neural-network quantum state tomography in four-photon entanglement systems 四光子纠缠系统中的神经网络量子态断层扫描
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-23 DOI: 10.1016/j.optcom.2026.132946
Xiaolei Kuang , Xijun Ren
This study conducts a comprehensive benchmarking analysis of neural-network-based quantum state tomography on a four-photon entangled system, systematically evaluating the performance of three variational architectures: the positive-real ansatz, the pure-state ansatz, and the purification ansatz. Our experimental findings illustrate the following: the positive-real ansatz attains a fidelity exceeding 99% for Z-basis measurements, though its performance is highly sensitive to the choice of measurement basis; the pure-state ansatz, which is based on a restricted Boltzmann machine, achieves a fidelity of over 99% while utilizing merely 31% of the conventional measurement bases, thereby demonstrating remarkable measurement efficiency; in contrast, the purification ansatz exhibits notable fragility during optimization and high sensitivity to noise. This work offers essential guidance for the selection of suitable neural-network architectures in quantum state tomography and their potential extension to large-scale quantum systems.
本研究在四光子纠缠系统上对基于神经网络的量子态层析成像进行了全面的基准分析,系统地评估了三种变分架构的性能:正实分析、纯态分析和纯化分析。我们的实验结果表明:正实方差对z基测量的保真度超过99%,但其性能对测量基的选择高度敏感;基于受限玻尔兹曼机的纯态ansatz,仅利用31%的常规测量基,保真度达到99%以上,显示出显著的测量效率;相比之下,净化层在优化过程中表现出明显的脆弱性和对噪声的高敏感性。这项工作为量子态断层扫描中选择合适的神经网络架构及其在大规模量子系统中的潜在扩展提供了重要的指导。
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引用次数: 0
Selective multichannel excitation of Olver surface plasmon polaritons in composite nanoarray structures 复合纳米阵列结构中Olver表面等离子激元的选择性多通道激发
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-23 DOI: 10.1016/j.optcom.2026.132907
Xuefeng Shi , Peng Lang , Boyu Ji , Zhenlong Zhao , Yang Xu , Xiaowei Song , Jingquan Lin
Non-diffracting Olver surface plasmon polaritons (SPPs) exhibit unique characteristics of anti-disturbance and self-bending propagation, effectively reducing diffraction loss and extend the propagation distance of the main lobe. In this work, we design a polarization- and wavelength-sensitive composite nanoarray structure that enables flexible and active control of the excitation and bending direction of the Olver SPP main lobe in four distinct directions. Specifically, changing the polarization state of the incident light enables tuning the directional excitation of the Olver SPP main lobe, while varying the incident wavelength allows the precise control of its excitation direction along the upper or lower part of the structure. Quantitative analysis based on the extinction ratio demonstrates the excellent directional excitation capability of the proposed structure. Furthermore, the diffraction-free and self-healing properties of Olver SPPs are verified through the extraction of amplitude distribution curves along their propagation trajectories with the introduction of obstacles. These findings provide a promising strategy for advancing applications in optical tweezers, information routing, and plasmonic functional devices.
无衍射Olver表面等离子激元(SPPs)具有独特的抗干扰和自弯曲传播特性,有效地降低了衍射损耗,延长了主瓣的传播距离。在这项工作中,我们设计了一种极化和波长敏感的复合纳米阵列结构,可以灵活主动地控制Olver SPP主瓣在四个不同方向上的激发和弯曲方向。具体来说,改变入射光的偏振状态可以调整Olver SPP主瓣的定向激发,而改变入射波长可以精确控制其沿结构上部或下部的激发方向。基于消光比的定量分析表明,该结构具有良好的定向激励能力。此外,通过提取在引入障碍物时沿其传播轨迹的振幅分布曲线,验证了Olver SPPs的无衍射和自愈特性。这些发现为推进光镊、信息路由和等离子体功能器件的应用提供了一个有前途的策略。
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引用次数: 0
A networking protocol for UV communication networks based on adaptive message compression 一种基于自适应消息压缩的UV通信网络组网协议
IF 2.5 3区 物理与天体物理 Q2 OPTICS Pub Date : 2026-01-23 DOI: 10.1016/j.optcom.2026.132939
Leitao Wang, Zhiyong Xu, Jianhua Li, Jingyuan Wang, Cheng Li, Jiyong Zhao, Yang Su
Existing networking protocols for ultraviolet communication networks suffer from insufficient reliability, along with shortcomings in ensuring message transmission continuity and controlling failure rates. This paper proposes the enhanced ultraviolet large-scale communication networking (eUVLSCN) protocol. Firstly, a message-based simulation model is established, and network performance evaluation criteria centered on message transmission rate and message transmission success rate are put forward. Secondly, the frame structure is optimized, and message fields are added to ensure continuous message transmission. Meanwhile, an adaptive message compression algorithm is designed to dynamically adjust the compression ratio based on the message size and the transmission distance between source and destination nodes. Simulation results show that compared with the existing networking protocols for large-scale mobile ultraviolet communication networks, the eUVLSCN protocol achieves a higher message transmission success rate, enhances reliability and flexibility, and provides new insights for network performance optimization.
现有的紫外光通信网络组网协议存在可靠性不足,在保证报文传输连续性和控制故障率方面存在不足。提出了增强型紫外大规模通信网络(eUVLSCN)协议。首先,建立了基于消息的网络仿真模型,提出了以消息传输率和消息传输成功率为中心的网络性能评价标准;其次,优化帧结构,增加消息字段,保证消息的连续传输;同时,设计了一种自适应消息压缩算法,根据消息大小和源节点与目的节点之间的传输距离动态调整压缩比。仿真结果表明,与现有的大规模移动紫外通信网络组网协议相比,eUVLSCN协议实现了更高的消息传输成功率,增强了可靠性和灵活性,为网络性能优化提供了新的见解。
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引用次数: 0
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Optics Communications
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